A
App Store Age Rating Auto-Review
3.65
Derivation Chain
Step 1
OS-level age verification mandate
→
Step 2
Stricter app age rating classification
→
Step 3
Automated age rating pre-review service
Problem
As OS-level age verification becomes mandatory, app store age rating reviews are also becoming stricter. When Korean indie game/app developers submit to Google Play or the App Store, incorrectly completing the age rating questionnaire (IARC) results in rejection and a 1–3 week launch delay — or in severe cases, store suspension. Solo developers alone spend half a day just understanding the rating criteria differences between stores.
Solution
Analyzes app content (screenshots, permission lists, in-app purchase types, user-generated content flags) to predict age ratings against Google Play, App Store, and Korea's Game Rating and Administration Committee standards, and auto-generates IARC questionnaire responses. Flags items with high rejection probability and provides remediation guides.
NUMR-V Scores
NUMR-V Scoring System
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
SaaS N=.15 U=.20 M=.15 R=.30 V=.20
Senior N=.25 U=.25 M=.05 R=.30 V=.15
Feasibility (72%)
Data Availability
22.5/25
Feasibility Breakdown
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
Market Validation (50/100)
Validation Breakdown
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |
Technical Requirements
AI/ML [medium]
Backend [medium]
Frontend [low]